Match and merge geospatial and demographic datasets
Source:R/merge_geo_demographic.R
merge_geo_demographic.RdThis function adds the key information of a demographic dataset to a geospatial dataset based on the spatial aggregation level. Since the smallest level of spatial aggregation present in the demographic datasets is municipality, this function can only merge with geospatial datasets that present municipality or department level.
Arguments
- demographic_dataset
character with the demographic dataset name. Please use
list_datasets("demographic", "EN")orlist_datasets("demographic", "ES")to check available datasets.- simplified
logical for indicating if the downloaded spatial data should be a simplified version of the geometries. Simplified versions are lighter but less precise, and are recommended for easier applications like plots. Default is
TRUE.
Examples
# \donttest{
merged <- merge_geo_demographic("DANE_CNPVV_2018_9VD", TRUE)
#> Original data is retrieved from the National Administrative Department
#> of Statistics (Departamento Administrativo Nacional de Estadística -
#> DANE).
#> Reformatted by package authors.
#> Stored by Universidad de Los Andes under the Epiverse TRACE iniative.
head(merged)
#> Simple feature collection with 6 features and 14 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -77.12783 ymin: 3.730633 xmax: -71.94885 ymax: 11.10537
#> Geodetic CRS: WGS 84
#> codigo_departamento departamento version area latitud longitud
#> 1 05 Antioquia 2018 62804708983 6.922796 -75.56499
#> 2 08 Atlántico 2018 3315752105 10.677010 -74.96522
#> 3 11 Bogotá, D.C. 2018 1622852605 4.316108 -74.18107
#> 4 13 Bolívar 2018 26719196397 8.745271 -74.50864
#> 5 15 Boyacá 2018 23138048132 5.776607 -73.10207
#> 6 17 Caldas 2018 7425221672 5.342066 -75.30688
#> total_viviendas_ocupadas_con_personas_presentes
#> 1 1933583
#> 2 598179
#> 3 2345190
#> 4 509169
#> 5 369111
#> 6 304509
#> inodoro_conectado_al_alcantarillado_solo_aplica_para_viviendas_que_cuentan_con_servicio_de_alcantarillado
#> 1 1563592
#> 2 503712
#> 3 2287247
#> 4 254361
#> 5 226936
#> 6 241415
#> inodoro_conectado_a_pozo_septico inodoro_sin_conexion letrina
#> 1 197767 43731 4295
#> 2 74413 1982 1397
#> 3 20782 1826 257
#> 4 185116 5455 6645
#> 5 101767 17279 1377
#> 6 40454 5671 1535
#> inodoro_con_descarga_directa_a_fuentes_de_agua_bajamar
#> 1 77098
#> 2 2026
#> 3 4537
#> 4 3189
#> 5 3826
#> 6 10747
#> no_tiene_servicio_sanitario sin_informacion geom
#> 1 34531 12569 MULTIPOLYGON (((-74.83058 8...
#> 2 11123 3526 MULTIPOLYGON (((-74.91077 1...
#> 3 1310 29231 MULTIPOLYGON (((-74.15067 4...
#> 4 51816 2587 MULTIPOLYGON (((-76.17318 9...
#> 5 14449 3477 MULTIPOLYGON (((-72.04767 7...
#> 6 2768 1919 MULTIPOLYGON (((-74.66496 5...
# }